AI Coding Compliance Report for Software Teams

Best-fit situations

• A software vendor receives an AI usage questionnaire from a customer.
• An internal platform team wants a standard report for agent-assisted engineering work.
• A procurement or security review asks how AI-generated code is tested and approved.
• A team needs periodic evidence for policy review without manually reading every PR.

Operating steps

1. Define approved agent use cases and prohibited data or code areas.
2. Pull PR attribution, test evidence, review sign-offs, and sensitive-change events.
3. Summarize controls for authorization, secrets, PII, payment flows, infrastructure, and legal pages.
4. List open exceptions and the named owners responsible for resolution.
5. Export a concise report that can be shared with customers or internal governance teams.

Common risks

• A report claims controls exist but cannot link to PR-level evidence.
• Vendors over-disclose private prompts or under-disclose material AI code contribution.
• The report ignores failed-test overrides and manual sign-offs.
• Policies are written once but never reconciled with actual agent activity.